Instructions to use niclas/ATC_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use niclas/ATC_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="niclas/ATC_1")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("niclas/ATC_1") model = AutoModelForCTC.from_pretrained("niclas/ATC_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
add tokenizer
Browse files- vocab.json +1 -1
vocab.json
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{"
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{"s": 0, "t": 1, "g": 2, "v": 3, "r": 4, "e": 5, "w": 6, "a": 7, "k": 8, "f": 9, "c": 10, "z": 11, "p": 12, "m": 13, "j": 14, "q": 15, "h": 16, "o": 17, "n": 18, "y": 19, "x": 21, "u": 22, "i": 23, "b": 24, "l": 25, "d": 26, "'": 27, "|": 20, "[UNK]": 28, "[PAD]": 29}
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